openclaw - 💡(How to fix) Fix [Feature Request] Multi-window session support - new window pauses existing sessions [1 participants]

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openclaw/openclaw#56752Fetched 2026-04-08 01:48:15
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Feature Request: Multi-window Parallel Sessions

Problem

Currently in OpenClaw desktop, creating a new conversation window pauses/interrupts existing sessions. This prevents users from running multiple parallel conversations simultaneously.

Use Case

  • Window 1: Ask a complex question (waiting for AI to search/reason)
  • Window 2: Quickly ask something else during the wait time
  • Return to Window 1 when ready

This is a standard feature in other AI desktop apps (e.g., Doubao desktop allows 8-10 concurrent windows).

Expected Behavior

  • New window should NOT pause existing active sessions
  • Multiple windows should be able to

extent analysis

Fix: Implementing Multi-window Parallel Sessions

To achieve multi-window parallel sessions, we will introduce a new architecture that utilizes a centralized session manager and asynchronous processing.

Fix Plan

  • Step 1: Create a Session Manager
    • Design a session manager class that will handle all active sessions.
    • Use a dictionary or map to store sessions with unique IDs as keys.
  • Step 2: Asynchronous Processing
    • Modify the AI processing logic to run asynchronously.
    • Use threading or multiprocessing to achieve parallelism.
  • Step 3: Update Window Creation Logic
    • When a new window is created, generate a unique session ID.
    • Register the new session with the session manager.

Example Code (Python)

import threading
from queue import Queue

class SessionManager:
    def __init__(self):
        self.sessions = {}
        self.queue = Queue()

    def add_session(self, session_id, callback):
        self.sessions[session_id] = callback
        self.queue.put(session_id)

    def process_sessions(self):
        while True:
            session_id = self.queue.get()
            callback = self.sessions[session_id]
            threading.Thread(target=callback).start()

class AIProcessor:
    def __init__(self, session_manager):
        self.session_manager = session_manager

    def process(self, session_id, query):
        # AI processing logic here
        print(f"Processing query '{query}' in session {session_id}")

def create_window(session_manager, query):
    session_id = generate_unique_id()
    def callback():
        AIProcessor(session_manager).process(session_id, query)
    session_manager.add_session(session_id, callback)

# Usage
session_manager = SessionManager()
threading.Thread(target=session_manager.process_sessions).start()

create_window(session_manager, "What is the meaning of life?")
create_window(session_manager, "What is the capital of France?")

Verification

  • Open multiple windows and verify that existing sessions are not paused.
  • Check that each window can process queries independently.

Extra Tips

  • Use a thread pool or process pool to limit the number of concurrent sessions.
  • Implement session timeout and cleanup logic to prevent resource leaks.

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